Abstract: The physiological signal measuring method includes the following steps: obtaining a user physiological signal; separating the user physiological signal into multiple first packets according to a first box number; performing a sifting process respectively on the first packets by Empirical Mode Decomposition (EMD) to obtain multiple temporal intrinsic mode functions (temporal IMFs) respectively corresponding to the first packets; calculating multiple average envelope curves according to multiple upper envelope curves and multiple lower envelope curves respectively corresponding to the temporal IMFs; averaging the average envelope curves to generate a semi-IMF; calculating at least one correlation coefficient according to the semi-IMF and at least another semi-IMF; when the at least one correlation coefficient is larger than a correlation coefficient threshold, determining at least one signal section corresponding to the at least one correlation coefficient as at least one main component section of the user phys

Abstract: In a method of estimating Internet activity dependence of a human subject, a respiration sensing unit senses respiration-caused thoracic and abdominal movements of the human subject during a first time period, and a subsequent second time period during which an emotion stimulating material played on a multimedia playing unit is being watched by the human subject so as to generate two sets of thoracic and abdominal respiratory signals corresponding respectively to the first and second time periods. A processing unit generates an estimation result associated with the Internet activity dependence based on the emotion stimulating material and the sets of thoracic and abdominal respiratory signals.

Abstract: A cardiac regulating apparatus and a cardiac regulating method are disclosed. The cardiac regulating apparatus includes a control unit, a sensing unit and an analyzing unit. The control unit is configured for outputting a cardiac control signal in accordance with a heart rate of a heart. The sensing unit is configured for acquiring a blood pulse signal. In response to the cardiac control signal having a first constant cardiac rhythm, the analyzing unit is configured for analyzing amplitude and reflected wave time of the blood pulse signal, and for outputting a regulation parameter according to the amplitude and the reflected wave time of the blood pulse signal. The control unit is configured for regulating the cardiac control signal according to the regulation parameter from the first constant cardiac rhythm to a second constant cardiac rhythm different from the first constant cardiac rhythm.

Abstract: A signal decomposition method and an electronic apparatus using the same are proposed. The method includes the following steps: retrieving a first signal; performing a deterministic filtering operation to the first signal to decompose the first signal into at least one primary signal, where the at least one primary signal includes a second signal having a constant trend; and performing a non-deterministic filtering operation to the second signal to decompose the second signal into at least one secondary signal, where one of the at least one secondary signal has the constant trend and a sum of the at least one primary signal and the at least one secondary signal is the first signal.

Abstract: A signal decomposition method and an electronic apparatus using the same are proposed. The method includes the following steps: retrieving a first signal; performing a deterministic filtering operation to the first signal to decompose the first signal into at least one primary signal, where the at least one primary signal includes a second signal having a constant trend; and performing a non-deterministic filtering operation to the second signal to decompose the second signal into at least one secondary signal, where one of the at least one secondary signal has the constant trend and a sum of the at least one primary signal and the at least one secondary signal is the first signal.

Abstract: An electronic device, a monitoring and feedback system on thoracoabdominal motion (TAM) and a method thereof are provided, where the method includes the following steps. TAM signals of a user in a natural state are measured. Next, the TAM signals are decomposed so as to extract main components thereof. Energy of the main component and the non-noise components of the abdominal motion signal are calculated to obtain the abdominal muscle contraction. Instantaneous phases of the main component of TAM signals are calculated to obtain the instantaneous coordination of TAM and the self-ability for adjusting TAM. A TAM mode of the user is evaluated in the natural state according to the abdominal muscle contraction, the instantaneous TAM coordination, and the self-ability for adjusting TAM. The user is further instructed to adjust the TAM mode to a suitable state according to a target environment mode.

Abstract: A processing device including an interface unit, a first slot, and a transmission unit is provided. The interface unit is configured to receive a plurality of physiological monitoring signals. The first slot is configured to hold a first analysis module. When the first analysis module is inserted into the first slot, the first analysis module analyzes a first signal group to generate a first analysis result. The first signal group includes at least two of the physiological monitoring signals. The transmission unit outputs the first analysis result to at least one external device.

Abstract: A measuring glove including a first sensing unit and a second sensing unit is provided. The first sensing unit measures a first physiological signal. The second sensing unit measures a second physiological signal. When the first sensing unit operates, the second sensing unit stops operating. When the second sensing unit operates, the first sensing unit stops operating.

Abstract: A method for extracting the feature of an abdominal breathing is disclosed, capable of extracting the feature of an abdominal breathing, without the requirement of a standard model of an abdominal breathing and the execution of a learning process being executed prior to the method for extracting the feature of an abdominal breathing. By means of computing a plurality of intrinsic mode functions corresponding to the abdominal breathing signal received, an Euler angle function and an instantaneous frequency function of each of the plurality of intrinsic mode functions, and comparing the plurality of instantaneous frequency function with a pre-determined zero-point threshold region, the method for extracting the feature of an abdominal breathing defines one of the plurality of instantaneous frequency function as an abdominal breathing feature function, which contains the feature of the abdominal breathing. In this way, the feature of an abdominal breathing is extracted.

Abstract: A method for extracting the feature of an abdominal breathing is disclosed, capable of extracting the feature of an abdominal breathing, without the requirement of a standard model of an abdominal breathing and the execution of a learning process being executed prior to the method for extracting the feature of an abdominal breathing. By means of computing a plurality of intrinsic mode functions corresponding to the abdominal breathing signal received, an Euler angle function and an instantaneous frequency function of each of the plurality of intrinsic mode functions, and comparing the plurality of instantaneous frequency function with a pre-determined zero-point threshold region, the method for extracting the feature of an abdominal breathing defines one of the plurality of instantaneous frequency function as an abdominal breathing feature function, which contains the feature of the abdominal breathing. In this way, the feature of an abdominal breathing is extracted.

Abstract: The present invention provides a method for feedback control and a device using the same, wherein the device comprising a sensing layer for generating a plurality of sensing signals with respect to the at least one kind of characteristics on the sensing layer, and a driving layer for changing the surface status of the sensing layer. The control method is started a step of acquiring the plurality of sensing signals within a first specific time interval and establishing a first prediction model accordingly, then predicting a distribution status with respect to the at least one kind of characteristic on the sensing layer at a specific time point according to the first prediction model, and finally, determining whether to change the surface status of the sensing layer according to the distribution status.

Abstract: An abdominal breathing training apparatus, an abdominal breathing training system and the method thereof are provided. The abdominal breathing training apparatus is adapted for training a trainee how to perform an abdominal breathing and includes a trainer unit, a sensor unit, a data acquisition and conversion unit and a display unit. The trainer unit generates training waveforms and indications. The sensor unit directly measures abdominal movement signals from the trainee, and is positioned adjacent to the abdominal portion of the trainee. The data acquisition and conversion unit is coupled to the sensor unit and generates a trainee abdominal movement waveform according to the measured abdominal movement signals of the trainee. The display unit is coupled to the trainer unit, and displays the training waveforms and the indications to the trainee, who follows the training waveforms on the display unit to perform the abdominal breathing.

Abstract: A method for extracting the feature of an abdominal breathing is disclosed, capable of extracting the feature of an abdominal breathing, without the requirement of a standard model of an abdominal breathing and the execution of a learning process being executed prior to the method for extracting the feature of an abdominal breathing. By means of computing a plurality of intrinsic mode functions corresponding to the abdominal breathing signal received, an Euler angle function and an instantaneous frequency function of each of the plurality of intrinsic mode functions, and comparing the plurality of instantaneous frequency function with a pre-determined zero-point threshold region, the method for extracting the feature of an abdominal breathing defines one of the plurality of instantaneous frequency function as an abdominal breathing feature function, which contains the feature of the abdominal breathing. In this way, the feature of an abdominal breathing is extracted.

Abstract: The present invention provides a method for feedback control and a device using the same, wherein the device comprising a sensing layer for generating a plurality of sensing signals with respect to the at least one kind of characteristics on the sensing layer, and a driving layer for changing the surface status of the sensing layer. The control method is started a step of acquiring the plurality of sensing signals within a first specific time interval and establishing a first prediction model accordingly, then predicting a distribution status with respect to the at least one kind of characteristic on the sending layer at a specific time point according to the first prediction model, and finally, determining whether to change the surface status of the sensing layer according to the distribution status.

Abstract: An abdominal breathing training apparatus, an abdominal breathing training system and the method thereof are provided. The abdominal breathing training apparatus is adapted for training a trainee how to perform an abdominal breathing and includes a trainer unit, a sensor unit, a data acquisition and conversion unit and a display unit. The trainer unit generates training waveforms and indications. The sensor unit directly measures abdominal movement signals from the trainee, and is positioned adjacent to the abdominal portion of the trainee. The data acquisition and conversion unit is coupled to the sensor unit and generates a trainee abdominal movement waveform according to the measured abdominal movement signals of the trainee. The display unit is coupled to the trainer unit, and displays the training waveforms and the indications to the trainee, who follows the training waveforms on the display unit to perform the abdominal breathing.

Abstract: A digital amblyopia image aid system provided with individually adjustable function, the structure thereof at least consists of an original image input, a system processing center and an image output after adjusting, wherein the characteristics is the said system processing center can adjust on vision according to individual amblyopia patient, and simulate the image seen by the vision disabled through linear and non-linear method to determine and adjust the suitable image contrast intensification parameters according to users' image intensification effect requirement to enhance the image contrast information and provide optimal image effect, and the said system can be applied in electronic magnification system, added with internet function, making it become class instruction reading system for the vision disabled, while the digital signal processor (DSP) is used for outdoors and convenience increasing, which adds exclusive image contrast intensification function into portable aid to bring more convenience and